# khaos を Homebrew でインストール khaos のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。 ## インストール ```sh sudo av install brew:khaos ``` 追加のインストールコマンド: ### macOS - Homebrew (100%): ```sh brew install khaos ``` 証拠: local Homebrew formula metadata ## パッケージ情報 - **パッケージキー:** brew:khaos - **パッケージマネージャ:** Homebrew - **バージョン:** 0.7.1 - **ソース概要:** Kafka traffic simulator for observability and chaos engineering - **ホームページ:** - **リポジトリ:** - **最終更新:** 2026-06-27T10:27:00Z - **生成日時:** 2026-08-03T19:37:03+00:00 ## 実行可能ファイル - khaos (エイリアス) ## インストール挙動 - Bottle: 利用不可 ## バージョンと鮮度 - ページ生成日: 2026-08-03 - マネージャ版: 0.7.1 ## プロジェクトの歴史と使われ方 khaos is a young Kafka data generator, load-testing, and chaos-engineering CLI. It uses YAML scenarios to generate synthetic traffic, simulate producers and consumers, and exercise Kafka cluster failure modes. ### プロジェクトの歴史 The upstream changelog records version 0.1.0 on December 23, 2025 as the initial release, with configurable producers and consumers, YAML scenarios, correlated event flows, Faker-backed data generation, Docker Compose integration, authentication support, live stats, prebuilt scenarios, and CLI commands for running, simulating, validating, listing, and managing clusters. Rapid follow-up releases in December 2025 added Avro, Protobuf, Schema Registry support, scenario categories, custom scenario files, Docker support, and internal refactoring. Version 0.7.0 on January 2, 2026 added consumer failure simulation, duplicate message simulation, dead-letter queue support, and new testing scenarios. ### 採用の歴史 The repository and Homebrew formula show early package-manager adoption for macOS and Linux users, but evidence of broad ecosystem uptake is still limited. Its adoption story is best understood as an emerging Kafka testing utility rather than a mature infrastructure standard. ### 使われ方 Users run bundled or custom YAML scenarios against a local Docker-managed Kafka cluster or an external cluster. The README documents traffic generation, load testing, producer and consumer simulation, stream-processing test data, chaos scenarios, monitoring validation, authentication, and serialization formats. ### パッケージ好きにとっての重要性 khaos is notable because it packages a hands-on Kafka lab into one CLI: local KRaft or ZooKeeper clusters, scenario files, schema formats, synthetic data, and failure simulation are exposed as installable commands instead of ad hoc producer scripts. ### タイムライン - 2025-12-23: khaos 0.1.0 initial release. - 2025-12-25: versions 0.2.0 through 0.4.0 added Avro, Protobuf, Schema Registry, and scenario categories. - 2025-12-27: version 0.5.0 added custom scenario files and Docker support. - 2026-01-02: version 0.7.0 added consumer failure, duplicate-message, and DLQ simulations. - 2026-01-05: version 0.7.1 fixed external-cluster authentication and managed-cluster retention behavior. ### Related projects - khaos sits near Apache Kafka, Kafka UI, Schema Registry, Apache Flink, Spark Streaming, Kafka Streams, Docker Compose, and Faker-backed synthetic data generators. ### ソース - - - ## セキュリティノート khaos に一致するローカルシークレット処理マニフェストは見つかりませんでした。将来の対応で安定したパッケージ URL を使えるよう、Nucleus パッケージメタデータはここに公開されています。 ## Configuration and credential file locations These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval. ## Configuration files - Unix: ./my-scenario.yaml, /path/to/custom-scenario.yaml ## Combined YAML source View the package source record on GitHub. [combined/khaos.yml](https://github.com/mxcl/pkgdb/blob/main/combined/khaos.yml) ## ソース - pkg.so package database - Geiger risk classifier - curated configuration and credential file locations - curated package history - pkgdb category and tag curation - cross-ecosystem install command graph